Life Sciences Jobs at Bayer, USA | Apply Online
An exciting Life Sciences Jobs opportunity has emerged at Bayer for Master’s and PhD students in Bioinformatics, Computational Biology, and Data Science. The Bayer Data Science Co-Op (Protein Engineering Data Science Co-Op) position in Chesterfield, Missouri, offers an opportunity to engage in interdisciplinary research and hands-on experience in agricultural biotechnology.
- Job Position: Protein Engineering Data Science Co-Op
- Location: Chesterfield, Missouri, USA
- Reference code: 883386
About The Company
Bayer is a global enterprise with core competencies in the life science fields of health care and agriculture. The company is dedicated to finding solutions to some of the world’s most pressing challenges, including food security and health care. With a strong focus on innovation and sustainability, Bayer operates in more than 80 countries and is committed to improving the quality of life for people worldwide.
Job Description
The Bayer Data Science Co-Op role involves supporting protein engineering and biological data science projects. The successful candidate will develop scalable computational workflows, integrate complex biological datasets, and apply machine learning approaches to address questions in protein design, plant biology, and insect resistance. This position provides a unique opportunity to work closely with a team of protein engineers, computational biologists, data scientists, and domain experts.
Life Sciences Jobs – Key responsibilities
- Develop, test, and document reproducible pipelines for protein engineering, computational chemistry, and computational biology workflows;
- Implement data quality checks, standardized inputs and outputs, workflow monitoring, and reproducibility practices;
- Integrate protein, interactome, metabolomic, phenotypic, and other biological datasets for exploratory analysis and predictive modeling;
- Maintain well-documented code using collaborative software development and version control practices;
- Present project progress, analytical findings, and workflow recommendations to scientific stakeholders;
- Support the development of cloud-enabled Nextflow pipelines for protein structure prediction, design, scoring, and candidate prioritization;
- Integrate protein interaction and metabolomic datasets to identify signals associated with plant performance;
- Apply computational approaches to model insect resistance using molecular, genomic, phenotypic, and population-level data;
- Collaborate with cross-functional teams to advance protein engineering, computational biology, and data science initiatives.
Eligibility criteria required for Life Sciences Jobs
- Currently pursuing a Master’s or Ph.D. degree in Bioinformatics, Computational Biology, Data Science, Biochemistry, Biophysics, Genetics, Genomics, or a related field;
- Experience programming in Python, R, Bash, or a similar programming language;
- Familiarity with biological data analysis, machine learning, statistics, or scientific computing;
- Interest in protein engineering, structural biology, multi-omics, plant biology, or insect biology;
- Strong problem-solving, documentation, data visualization, and communication skills;
- Ability to work independently while collaborating effectively with scientists from multiple disciplines.
Preferred qualifications:
- Experience with Nextflow or another scientific workflow management system;
- Familiarity with AWS, cloud computing environments, Linux, containers, Git, or high-performance computing platforms;
- Experience working with large-scale biological datasets and computational pipelines;
- Knowledge of bioinformatics, machine learning, and predictive modeling techniques applied to biological systems.
This Bayer Data Science Co-Op opportunity is ideal for ambitious Master’s and PhD students eager to gain practical experience in a leading global company. Interested candidates are encouraged to apply before the deadline to seize this valuable Life Sciences Jobs opportunity.
